tjboudreaux/cc-thinking-skills

thinking-ooda

Use under time pressure when the situation is still changing and you must act before certainty — cycle Observe→Orient→Decide→Act on ~70% confidence, then re-observe.

First seen Mar 12, 2026

Installation

$ npx skills add tjboudreaux/cc-thinking-skills --skill thinking-ooda

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 1.3K
License LICENSE
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,193 B
  • docs SUMMARY.md 194 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 375 installs

SKILL.md

OODA Loop

Core rule: For reversible moves under time pressure, act on ~70% confidence, then immediately re-observe. Cycle faster than the situation compounds; a late perfect plan loses to a fast loop.

When to Use

  • Incident response, outage, or ongoing degradation where state is still moving.
  • Debugging a moving target (intermittent failure, live traffic shift).
  • Any time-bounded decision where waiting for full certainty costs more than a reversible action.

When NOT to Use

  • The situation is static and you have time — deliberate analysis or a hypothesis differential wins.
  • The next action is irreversible or high blast-radius — raise the evidence bar; 70% is not enough.
  • You can cheaply localize the cause (read the failing diff, log, or metric) — test that hypothesis directly instead of looping in the dark.
  • There is no time pressure and no changing environment — OODA adds churn without value.

Procedure

  1. Observe (time-boxed): gather the cheapest high-signal state now — metrics, logs, alerts, recent deploys/config, and feedback from the last action. Cap the window; do not collect forever.
  2. Orient: match observations to a pattern and form ≥2 candidate explanations. Update or discard the mental model when data contradicts it; refuse single-hypothesis lock.
  3. Decide: pick one reversible action that tests the leading hypothesis. State confidence (~70% threshold for reversible moves), the predicted effect, the observation you will check next, and a time box for that check.
  4. Act: execute once, decisively, with a known rollback or degrade path.
  5. Re-observe immediately: compare outcome to prediction within the time box; feed the result into the next Observe. Loop until stable or until the next move is no longer reversible enough for this skill.
  6. Stop condition: exit the loop when the system is stable, the remaining work is static analysis, or the next step requires irreversible commitment — then switch method.

Output

A cycle record (repeat per loop):

  1. Observed — current signals and what changed since last cycle.
  2. Orientation — ≥2 hypotheses; which one leads and why.
  3. Decision — action, confidence, predicted effect, next observation, time box.
  4. Act + result — what ran and what the immediate re-observe showed.
  5. Loop status — continue / stable / escalate out of OODA.

Verification

  • Falsify/stop: if you cannot name a reversible next action and a near-term observation that would refute it, stop looping and gather more evidence or escalate. If re-observe never happens after act, the loop is broken — fix that before another action.
  • Over-application guard: do not OODA static design work, irreversible launches, or cases where a single cheap localization check ends the uncertainty. Do not wait for 100% confidence on reversible mitigations under active incident pressure.